Applications of Industry 4.0 in the standardization of jams’ production process

This article aims to illustrate one of the many applications of Industry 4.0 through the use of multivariate analytical procedures and multi-response machine learning models, as a way to analyze, model and standardize the relationships between the different input and output variables that drive jams’ formulation. This research work is accomplished in a company dedicated to the production and commercialization of agricultural products, it describes the methodology study used that helped to find the ranges of values for the levels of sugar (°Bx) and acidity (pH) that satisfy mathematics and statistically the finished product release parameters defined by the own company.

• Tipo de recurso: http://purl.org/coar/resource_type/c_6561
• Fecha de publicación: 2021
• Institución: Universidad Pedagógica y Tecnológica de Colombia
• Repositorio: RiUPTC: Repositorio Institucional UPTC
• Idioma: spa
• OAI Identifier: oai:repositorio.uptc.edu.co:001/12340
• Acceso en línea: https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/13513; https://repositorio.uptc.edu.co/handle/001/12340
• Palabra clave: consistency; standards; Brix degrees; jams; models; pH; variables; consistencia; estándares; grados Brix; mermeladas; modelos; pH; variables
• License: http://purl.org/coar/access_right/c_abf62